MODEL-BASED RECOMMENDATION OF TRENDING SKILLS IN SOCIAL NETWORKS
The disclosed embodiments provide a system for improving use of a social network. During operation, the system identifies skills that are trending within a social network based on usage features associated with usage of the skills in the social network. Next, the system matches one or more of the skills to member features for a member of the social network. The system then outputs a recommendation of the skill(s) to the member.
1 . A method, comprising:
identifying, by a computer system, skills that are trending within a social network based on usage features associated with usage of the skills in the social network;
selecting, by the computer system, one or more of the skills to recommend to a member of the social network by matching the one or more skills to member features for the member; and
outputting a recommendation of the one or more of the skills to the member.
2 . The method of claim 1 , further comprising:
obtaining a response of the member to the recommendation; and
using the response to update subsequent recommendation of the skills to additional members of the social network.
3 . The method of claim 1 , wherein identifying the skills that are trending within the social network comprises:
applying a statistical model to the usage features; and
obtaining, as output from the statistical model, a score indicating a level of trending in a skill.
4 . The method of claim 1 , wherein the usage features are obtained from job postings in the social network.
5 . The method of claim 1 , wherein the usage features are obtained from searches in the social network.
6 . The method of claim 1 , wherein the usage features are obtained from profile updates in the social network.
7 . The method of claim 1 , wherein selecting the one or more of the skills to recommend to the member of the social network comprises:
applying a statistical model to the member features; and
obtaining one or more scores as output from the statistical model; and
using the one or more scores to select the one or more skills to recommend to the member of the social network.
8 . The method of claim 7 , wherein the one or more scores represent at least one of:
a predicted propensity of the member in accepting the recommendation of the one or more skills; and
a relevance of the one or more skills to the member.
9 . The method of claim 1 , wherein the member features comprise at least one of:
an existing skill;
a title;
an industry;
a company;
a school;
a publication;
a certification; and
a summary.
10 . The method of claim 1 , wherein outputting the recommendation of the one or more of the skills to the member comprises:
including a usage statistic associated with a skill in the recommendation.
11 . The method of claim 1 , wherein outputting the recommendation of the one or more of the skills to the member comprises:
recommending a topic page for a skill to the member.
12 . The method of claim 1 , wherein outputting the recommendation of the one or more of the skills to the member comprises:
recommending a skill as a profile edit to the member.
13 . A system, comprising:
one or more processors; and
memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
identify skills that are trending within a social network based on usage features associated with usage of the skills in the social network;
select one or more of the skills to recommend to a member of the social network by matching the one or more skills to member features for the member; and
output a recommendation of the one or more of the skills to the member.
14 . The system of claim 13 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the apparatus to:
obtain a response of the member to the recommendation; and
use the response to update subsequent recommendation of the skills to additional members of the social network.
15 . The system of claim 13 , wherein identifying the skills that are trending within the social network comprises:
applying a statistical model to the usage features; and
obtaining, as output from the statistical model, a score indicating a level of trending in a skill.
16 . The system of claim 13 , wherein the usage features are obtained from at least one of:
job postings;
searches; and
profile updates.
17 . The system of claim 13 , wherein selecting the one or more of the skills to recommend to the member of the social network comprises:
applying a statistical model to the member features; and
obtaining one or more scores as output from the statistical model; and
using the one or more scores to select the one or more skills to recommend to the member of the social network
18 . The system of claim 17 , wherein the one or more scores represent at least one of:
a predicted propensity of the member in accepting the recommendation of the one or more skills; and
a relevance of the one or more skills to the member.
19 . The system of claim 13 , wherein outputting the recommendation of the one or more of the skills to the member comprises at least one of:
including a usage statistic associated with a skill in the recommendation;
recommending a topic page for the skill;
recommending a course for learning the skill; and
recommending the skill as a profile edit.
20 . A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method, the method comprising:
identifying skills that are trending within a social network based on usage features associated with usage of the skills in the social network;
matching one or more of the skills to member features for a member of the social network; and
outputting a recommendation of the one or more of the skills to the member.